Status : Verified
| Personal Name | Dulce, Elvin D. |
|---|---|
| Resource Title | Energy Management Optimization for Retail Electricity Customers Under Capacity Utilization Factor-Based Contracts Complemented by Wholesale Electricity Spot Market Trading |
| Date Issued | January 2025 |
| Abstract | In competitive retail electricity markets, qualified retail electricity customers are free to select their retailers and tariff plans. In the Philippines, a tariff scheme based on a capacity utilization factor (CUF) is common among electric cooperatives, which is usually complemented by trading in the wholesale electricity market. In the CUF-based tariff, the retail electricity price generally decreases with increasing CUF, and hence, with increasing volume of energy procured from the retailer. This CUF-based tariff presents some challenges in scheduling all available energy sources since the actual CUF and the corresponding retail electricity price are determined only after the billing period. Given the critical role the CUF plays in reducing energy costs in CUF-based contracts, and due to the volatility of WESM prices, optimization is vital in the energy scheduling. Also, based on the literature, no existing studies have considered CUF-based retail electricity contracts and incorporated wholesale electricity market trading in the energy management optimization for retail electricity customers. This study proposes a two-stage optimal energy scheduling framework that will optimize energy management options by solving the optimal CUF, to minimize the net energy cost, for retail electricity customers who have an existing CUF-based retail electricity contract with a fixed contracted capacity, trade directly in the wholesale electricity market, utilize self-generation and battery energy storage, and schedule their energy consumption. The first stage is deterministic energy scheduling, which creates an initial energy schedule for the entire upcoming billing month based on simple forecasts derived from available historical data. In the second stage, responsive energy scheduling modifies the initial energy schedules in response to updates from the forecast data. |
| Degree Course | Doctor of Philosophy in Electrical and Electronics Engineering |
| Language | English |
| Keyword | capacity utilization factor; energy management optimization; retail electricity market, wholesale electricity market |
| Material Type | Thesis/Dissertation |
Preliminary Pages
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Category : P - Author wishes to publish the work personally.
Access Permission : Limited Access