Utilities Business Review : News

The management of energy is increasingly challenging due to the inclusion of distributed generation, battery storage, electric vehicles and increasingly flexible consumption patterns in electricity networks. Although conventional grid structures were designed around fairly predictable power flow, modern energy environments demand more coordination between generation, storage and loads. An intelligent microgrid and energy optimization system creates a realistic framework to manage the energy in a specific electrical network and make local resources react to demand and supply variations. Microgrids can be integrated into the broader utility grid system and can help drive local resilience if the grid system is only partially operational. Specific to industrial buildings, commercial buildings, healthcare sites, campuses and communities where reliable electricity and efficient energy use are closely linked to operational performance, their value comes into play. Evolving Market Demand for Smarter Microgrid Management Intelligent microgrid technology is driving the market, as there is a greater demand to control a variety of energy resources without complicating everyday operations. The value of solar generation, battery storage and controllable loads can be significant when they are considered as a coherent system instead of individual pieces of equipment. A microgrid controller can track electricity demand, generation levels, battery status and grid conditions and then adjust operating priorities based on a set of pre-defined goals. Coordinated control can help lower the need for additional electricity purchases for a facility that has variable electricity needs without compromising critical electricity supplies. A microgrid is the architecture that has gained particular significance in the case of energy storage. Solar generation is highly unpredictable and does not always match electricity demand, so that during some periods surplus generation can occur and at other periods, demand increases. “By using simulation, system sizing can be made more effective, and the risk of costly changes after installation can be minimized.” Surplus electricity can be stored in batteries and discharged when electricity demand increases. Intelligent control optimizes the time of charging and discharging for maximum operational benefit. Battery management can include state of charge, equipment limits and anticipated demand, to ensure that storage capacity is available when high-priority demands occur. Another area of development is the demand response. Instead, intelligent microgrids can determine which loads can be moved without impacting mission-critical operations. Controlled adjustment may be achievable for cooling systems, water heating, pumping systems and some industrial processes. Optimizing energy use is easier if flexible loads are aligned with local generation and energy storage, instead of optimizing them separately. Deployment Challenges and Practical Solutions One of the key challenges in designing a microgrid is figuring out how the various energy assets should interact. Technical requirements for solar panels, batteries, generators, building loads and utility connections may vary. The problem can be solved by a unified control architecture, which can set operating priorities and communication between the connected assets. This modular system design also enables the possibility of adding more generation or storage capacity, without redesigning the entire electrical network. Predicting energy demand and renewable generation can also be challenging due to fluctuations in energy usage during the day. Bad coordination can result in battery cycling or inadequate utilization of local generation. Weather, production schedules and facility operating patterns can be coupled with historical consumption information to aid better forecasting. This allows controllers to make charging, discharging and load management decisions based upon forecast conditions instead of reacting once a change has happened. Another factor to consider is cybersecurity, since microgrids are increasingly integrated into their connectedness. The digital network allows for energy controllers, meters and storage systems to communicate with each other, thus requiring controlled access and system monitoring. Exposure can be minimized whilst still enabling the necessary data exchange through network segmentation, authentication and secure communication protocols. System reviews can also be used regularly to help identify weaknesses in the configuration, not to interfere with normal energy operations. Technology Advances and Stakeholder Benefits Intelligent control platforms are making microgrids more capable. Today's controllers can manage generation, storage and demand through real-time meter and connected equipment data. Control logic can decide on a different operating strategy based on the varying electricity conditions and facility priorities. This flexibility helps to optimize the use of resources and ensure that the required loads are powered. AI can also be used in certain applications, such as those that rely on significant amounts of operational data to enhance forecasting or detect any unusual patterns in equipment behavior. Advanced algorithms are not the only key to effective microgrid management. Reliable metering, good sound control logic and good operating rules continue to be essential. The usefulness of the data-driven tools is best when they help inform engineering decisions and do not unnecessarily complicate things. Digital simulation is also being used to help energy planners assess the configuration of a microgrid before the actual installation. Various scenarios of solar generation, battery capacity and controllable loads can be simulated against the expected loads. Engineers can simulate how a system will operate in various situations and determine the need for capacity without making equipment commitments. By using simulation, system sizing can be made more effective, and the risk of costly changes after installation can be minimized. ...Read more

Electric utilities implement demand-side management (DSM) as a strategic method to regulate electricity consumption. DSM encourages consumers to modify their energy usage patterns, particularly during peak demand periods. This approach helps to balance the energy system more effectively, reduces strain on the grid, and improves overall efficiency. DSM seeks to reduce electricity use without compromising comfort or customer needs. Utilities can lessen their reliance on more generation capacity by encouraging behavioral changes, such as moving energy use to off-peak hours. Financial incentives, such as rebates for energy-efficient equipment or lower rates for customers who limit their use during peak hours, are accomplished. Reducing carbon emissions allows utilities to meet sustainability targets while avoiding costly infrastructure improvements. Utility companies can maximize current resources and postpone expensive system upgrades by strategically lowering electricity consumption. DSM helps avoid the need for additional power purchases or the activation of backup generation systems by better-controlling peak load periods. Customers will pay less for electricity as a result of lower operating costs. Additionally, by evening out demand spikes, DSM facilitates the inclusion of intermittent renewable energy sources. Demand Response (DR) is an essential feature of DSM, especially for large-scale industrial and commercial clients. Businesses might receive incentives from DR programs to reduce their electricity use when necessary. In exchange for their flexibility, participants get paid. DR initiatives contribute to grid stability, particularly at times of peak demand. Energy flexibility is a crucial tactic in contemporary grid management that helps create more dependable power networks and save costs. DSM in Electric Vehicle (EV) Charging Operations Electric vehicles (EVs) increasingly impact electricity consumption as they become more common. DSM is essential to manage the additional load brought on by widespread EV charging. EV charging stations can put a lot of demand on the grid, especially in high-use locations like offices, multi-unit buildings, and public charging stations. These operations can move charging times to off-peak hours through DSM algorithms, lowering costs and promoting grid stability. Smart Energy Management in EV Charging Effective DSM adoption in EV charging requires smart energy management systems. These devices can modify charging behavior in response to grid conditions and dynamically balance energy distribution. When needed, they can use battery energy, employ on-site renewable energy, or prioritize charging during times of low demand. In addition to guaranteeing that EVs are fully charged, this strategy reduces the strain on grid resources. Vehicle-to-Grid (V2G) Integration Electric vehicles' contribution to DSM is further strengthened by incorporating Vehicle-to-Grid (V2G) technology. When EVs have V2G capabilities, they can serve as mobile energy storage devices that replenish the grid with electricity during periods of high demand. This offers a sustainable energy management solution while balancing variations in producing renewable energy sources like solar or wind. EV fleets, like those utilized for transit, can be significant in keeping the grid stable when energy demand is high. ...Read more

As performance-based regulation becomes more prevalent, utilities must closely track the benefits of their investments, which may necessitate more sophisticated monitoring and analysis. Additionally, these businesses must comply with increasing cybersecurity standards and often complex regulations that determine whether expenditures qualify for capital asset classification. Issues that are directing many companies to seek innovative asset management means and processes are: Infrastructure Ageing: The mass of infrastructure in the US energy transmission and distribution networks is 70 to 80 years old, even though its initial estimated lifetime was 50 years. Consequently, the infrastructure is obsolete and no longer suitable for new business cases. Moreover, the intensity of natural catastrophes and outdated infrastructure has occurred in extended outages in the United States. Expanding Public Health and Demand Challenges: COVID-19 has emphasized the importance of more flexible decision-making skills. Utilities require innovative solutions to meet new and altering energy consumption patterns as employees and students stay home more frequently. Furthermore, social distancing demanded the development of new remote asset maintenance procedures, supply chain disruptions compelled the development of new supply sources, and financial constraints demanded the renewal of capital program evaluations. Growing Cyber and Physical Threats: Power infrastructure is gradually vulnerable to cyber and physical assaults intended to cause asset damage and interrupt grid operations. Increasing Asset Complexity: With the rise of renewables and the infrastructure necessary to integrate them smoothly into the grid, utility asset life cycles are getting increasingly complicated. This encourages businesses to use information and operational technology to manage assets better. ...Read more