A Few Investigations on Intelligent Response Strategies. Beginning of New Era

      Аннотация: Demand Side Management (DSM) initiatives have gotten a lot of attention in recent years, due to the rise of the smart grid and consumer-centric regulations. The DSM program has many objectives. Controlling energy demand by modifying consumer demand is one of the main goals. Demand-Response plays a vital role in the planning and implementation of electrical utility programs, as well as in designing consumers' electricity usage that results in desirable load shape changes. In other words, Demand Response is used to change the overall load shape while keeping the balance between utility and consumers’ load. First developed and then implemented an intelligent demand response simulator by nature-inspired algorithms, to assess the financial terms related to the tariff, proposed a supervised framework for designing a demand response simulator with the incorporation of real-time price (RTP) and peak time rebate (PTR) and compared with ANN-based DR topologies, to calculate the exact demand for implementing a successful DR and in the same rhythm, designed a hybrid system, based on On-Grid Renewable integration using PV and Battery to improve the consumers’ comfort.

Ключевые слова: Demand Response, load shifting, Strategic conservation and peak clipping, Artificial Neural Network (ANN), electricity pricing, electricity spot market, peak time rebate (PTR), Price Elasticity, real-time price (RTP), time of use (TOU), Optimization, Peak demand and operational cost, Consumer baseline load (CBL), Building load coefficient (BLC), Renewable integration, solar radiation, COE, On site generation